PCA Index Interactive Visualization Examples

import plotly.express as px

import config
import load_fred
import pca_index

DATA_DIR = config.DATA_DIR

df = load_fred.load_fred(data_dir=DATA_DIR)
dfn = pca_index.transform_series(df)

/home/runner/work/my_first_website/my_first_website/src/pca_index.py:31: FutureWarning:

The default fill_method='pad' in Series.pct_change is deprecated and will be removed in a future version. Either fill in any non-leading NA values prior to calling pct_change or specify 'fill_method=None' to not fill NA values.

/home/runner/work/my_first_website/my_first_website/src/pca_index.py:32: FutureWarning:

The default fill_method='pad' in Series.pct_change is deprecated and will be removed in a future version. Either fill in any non-leading NA values prior to calling pct_change or specify 'fill_method=None' to not fill NA values.

## Visualize Principal Component 1
pc1, loadings = pca_index.pca(dfn, module="scikitlearn")
pc1.plot();

../_images/e14f17b09c2b0ee7b2e24092a5b12f121a0b09ecc3b49f85b1255dccb1ac6d8a.png

# Simple version
fig = px.line(pc1)
fig.show()

# Using slider and quick views
pca_index.pc1_line_plot(pc1)

## Visualize normalized and raw series
dfn.plot(subplots=True, figsize=(10, 10));

../_images/68165611f17020b3d5e9fe7db8e256b5407a029d9f4a7839e5a62d25e929b4c7.png

fig = px.line(dfn, facet_col="variable", facet_col_wrap=1)
fig.update_yaxes(matches=None)
fig.show()

pca_index.plot_unnormalized_series(df)

pca_index.plot_normalized_series(dfn)

PCA Index Interactive Visualization Examples

PCA Index Interactive Visualization Examples#